Ammari, Faisal, Joan, Lu and Maher, Abur-rous (2011) Intelligent XML Tag Classification Techniques for XML Encryption Improvement. In: Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Confernece on Social Computing (SocialCom). IEEE, pp. 1249-1252. ISBN 9781457719318
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Flexibility, friendliness, and adaptability have been key components to use XML to exchange information across different networks providing the needed common syntax for various messaging systems. However excess usage of XML as a communication medium shed the light on security standards used to protect exchanged messages achieving data confidentiality and privacy.
This research presents a novel approach to secure XML messages being used in various systems with efficiency providing high security measures and high performance. system model is based on two major modules, the first to classify XML messages and define which parts of the messages to be secured assigning an importance level for each tag presented in XML message and then using XML encryption standard proposed earlier by W3C  to perform a partial encryption on selected parts defined in classification stage.
As a result, study aims to improve both the performance of XML encryption process and bulk message handling to achieve data cleansing efficiently.
|Item Type:||Book Chapter|
|Additional Information:||Presented at the Third IEEE International Conference on Information Privacy, Security, Risk and Trust PASSAT 2011, Boston, USA, 9-11 October 2011|
|Subjects:||Q Science > Q Science (General)|
T Technology > T Technology (General)
|Schools:||School of Computing and Engineering|
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
|Depositing User:||Faisal Ammari|
|Date Deposited:||13 Oct 2011 13:39|
|Last Modified:||27 Jun 2013 10:17|
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